Evidence map›Paper›PMID 42768179›Full record

ReviewNature reviews. Clinical oncology2026

Understanding and targeting the tumour matrisome.

Dharma Pally, Johanna I Englund, Alexandra Naba

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dharma Pally *Department of Physiology and Biophysics, University of Illinois Chicago, Chicago, IL, USA.
Johanna I Englund *Institute of Biotechnology, HiLIFE, University of Helsinki, Helsinki, Finland.ORCID http://orcid.org/0000-0001-9637-6843
Alexandra NabaDepartment of Physiology and Biophysics, University of Illinois Chicago, Chicago, IL, USA. anaba@uic.edu.ORCID http://orcid.org/0000-0002-4796-5614

Funding

Thinking outside the cell: Leveraging HuBMAP data to build the human ECM atlasU01HG012680 · NHGRI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI GAO, YU, NABA, ALEXANDRA · 2022 to 2025
$2.0M
Mechanisms guiding the fibrillar assembly of SNED1 in the extracellular matrixR01GM148423 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Alexandra Naba · 2023 to 2026
$1.2M
Elevated collagen I and fibronectin in the ovarian cancer pre-metastatic nicheR01CA290693 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Pamela K Kreeger · 2025 to 2026
$1.2M
Enhanced mass-spectrometry-based approaches for in-depth profiling of the cancer extracellular matrixR21CA261642 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI GAO, YU, NABA, ALEXANDRA · 2022 to 2024
$553k
NCI NIH HHS R01 CA290693NCI NIH HHS R21 CA261642NHGRI NIH HHS U01 HG012680NIGMS NIH HHS R01 GM148423
6 · The paper itself

Abstract

The extracellular matrix (ECM) is a dynamic meshwork of proteins and glycans that provides architectural support to cells. This meshwork also conveys mechanical and biochemical signals that orchestrate many cellular processes, including proliferation, survival and migration. ECM accumulation is a hallmark of cancers and correlates with tumour aggressiveness and survival across cancer types. Because of its abundance and accessibility, the ECM constitutes an appealing reservoir of potential biomarkers and therapeutic targets. Yet, early attempts to target the ECM in patients with cancer have failed to provide clinical benefit. Over the past few years, the development of novel proteomic and imaging methods, together with advances in our knowledge of ECM biology provided by fundamental research, have transformed our understanding of the roles of the ECM in tumour progression. In this Review, we describe novel technologies developed to define the composition, physical and mechanical properties, and signalling functions of the ECM and provide an overview of ECM-dependent mechanisms regulating tumour progression. We then illustrate how the ECM is being leveraged to devise prognostic or diagnostic clinical tests. Lastly, we discuss strategies to target the ECM for clinical benefit by using the ECM for the targeted delivery of therapeutic payloads, normalizing the tumour ECM through matritherapies or modulating ECM signalling pathways.

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.